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Author

Shriram Chennakesavalu

2 papers indexed here

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Open access Aug 2026

Efficient, Few-Shot Directed Evolution with Energy Rank Alignment.

Directed evolution is a powerful and widely used technique for protein engineering, and reducing the cost of iterated experimental observations has become a major priority for practitioners. A number of recent efforts to use machine-learning-based predictors to improve sequence selection have led to remarkable improvem...

Sebastian Ibarraran, Shriram Chennakesavalu, Frank Hu et al. · 0 citations
#machine learning Preprint Sep 2026

Training Large Language Models for Small-Molecule Design with Synthetic Task Scaling

Designing viable drug candidates requires searching a combinatorially large and rugged chemical space for molecules that satisfy multiple, often competing, objectives. Large language models (LLMs) provide a useful generative prior for this problem because of their representational capacity, reasoning ability, and flexi...

Frank Hu, Shriram Chennakesavalu, Zi-Cheng Wang et al. · 0 citations

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